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Last updated: Feb 8, 2022

Machine Learning

Machine Learning is the ability of machines to learn. Machine Learning is a branch of Artificial Intelligence. The various applications of Machine Learning are used in the Information Technology(IT), medical and education industries. For instance, in modern times, companies widely use Machine Learning for Data Analytics to get more customer engagement. Machine Learning works by learning patterns from a training dataset and applying it to an unseen real-world dataset. The five steps in a Machine Learning pipeline are defining the problem, building the dataset, training the model, evaluating the model, and finally using the model to generate predictions.
Difference Between Machine Learning and Deep Learning
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Gradient Boosting Machine EASY
This article discusses the theoretical knowledge about gradient boosting.
Regression Model in Machine Learning
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Stacking in Machine Learning MEDIUM
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Deep learning with Tensorflow and Keras MEDIUM
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Boosting with AdaBoost
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Top 13 Machine Learning projects in R MEDIUM
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Top 20 Datasets in Machine Learning
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5 Best AI and ML startup hirings in 2024 MEDIUM
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How to create Anime Faces using GANs in PyTorch?
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Top Machine Learning experts to follow in 2024
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What is Machine Language? MEDIUM
In this blog, we will learn about What is machine language. We will understand its core concepts, its usage, and much more for better understanding.
Top 10 Libraries for Data Visualisation MEDIUM
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Dempster Shafer Theory EASY
In this blog, we will learn about Dempster Shafer's Theory. We will understand its core concepts, its usage, and much more for better understanding.
Career Prospects After a Course on Machine Learning MEDIUM
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Machine Learning Applications EASY
In this blog, we will explore Machine Learning Applications. We will learn about how machine learning helps in these applications and will write code and much more for better understanding.
Regularization in Machine Learning MEDIUM
In this blog, we will learn about Regularization. We will understand its core concepts, its usage, and much more for better understanding.
Top 10 Apps designed using Machine Learning
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5 Best Machine Learning projects
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What Are Data Loss Prevention Techniques? MEDIUM
Optimizers in Deep Learning MEDIUM
In this blog, we will learn about Optimizers in Deep Learning. We will learn about its characteristics, features, and much more for better understanding
Data Science and Artificial Intelligence EASY
In this blog, we will learn about the Data Science and Artificial Intelligence. We will understand each concept in detail and later look at the difference for better understanding.
Artificial Intelligence and Machine Learning EASY
In this blog, we will learn about Artificial Intelligence and Machine Learning. We will understand each concept in detail and later look at the difference for better understanding.
History of AI EASY
In this blog, we will learn about History of AI.
Introduction to Artificial Intelligence MEDIUM
Artificial Intelligence is an evolving field of computer science that focuses on creating intelligent machines.
Generative AI Models EASY
In this article, we will study generative AI models. First, we will cover what generative AI is, and then we will move to generative AI models.
Handling Outliers In Data Science
This article will discuss Handling Outliers In Data Science, how to identify them, the causes of outliers, strategies to handle those outliers, and when to use and remove them.
Goal Stack Planning in AI EASY
In this article, we will learn about the concept of goal stack planning, its implementation in Java, goal decomposition, & dynamic goal selection.
Contour plots EASY
In this blog, we will learn about Contour plots. We will start with implementing and later in the blog will go through applications.
Differences Between Artificial Intelligence and Human Intelligence EASY
Intelligence is defined as the ability that allows individuals to learn, reason, and solve different problems. These abilities include perception, memory, language, planning, attention, and complex interplay of cognitive functions.
Utility Theory In Artificial Intelligence EASY
In this article, we'll discuss utility theory in artificial intelligence. We will start with the utility function. We’ll also cover the formula for utility functions.
Chatbots in AI EASY
This blog will discuss chatbots in AI along with their working, some applications and limitations along with some frequently asked questions.
Informed Search Algorithms in Artificial Intelligence EASY
In this article, we'll learn about different types of informed search algorithms, how they work, their pros & cons, & see some examples.
Loan Default Prediction EASY
In this blog, we will learn about Loan Default Prediction. We will also explore the step-step guide of the process.
How to Use ChatGPT By OpenAI
In this article, we will learn how to use ChatGPT by OpenAI in detail. we also include some best practices for using ChatGPT.
Inference Engine in AI EASY
Read about Inference engine in AI with examples, types, advantages, and disadvantages. Also covers Forward Chaining and Backward Chaining in AI and components.
Probabilistic Reasoning in Artificial Intelligence MEDIUM
This blog discusses the topic of Probabilistic Reasoning in Artificial Intelligence along with its definition, need, working, types and applications.
Local Search Algorithm in Artificial Intelligence EASY
This blog will discuss the Local Search Algorithm with its definition, working, types, pros and cons.
Wumpus World in AI
In this blog, we will discuss Wumpus World in AI, which is an example of an agent that represents knowledge representation, reasoning, and planning.
Difference between Bagging and Boosting
This blog gives a brief description of bagging and boosting along with the implementation steps of both and the difference between bagging and boosting.
Data Science Applications
In this article, we will learn what data science is and the different areas in which data science is applicable.

Introduction

Introduction to every Machine Learning concept and application, including real-world examples, code implementation, and mathematical theory. Learn about the fundamental differences, types, and implementation.
Data Science VS Artificial Intelligence VS Machine Learning VS Deep Learning
I hope you are doing well. In this blog, we will learn the aspects of data and the process which converts it into a structured format. We will also compare data science, Artificial Intelligence, Machine Learning, and Deep Learning.
What is Machine Learning? MEDIUM
This article will give you a complete introduction to machine learning, its types, models, features, tools, advantages, disadvantages, limitations, applications, and future scope.
Author Tashmit
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How does Machine Learning work?
In this blog, we’ll learn about how machine learning works, its types, applications, and its importance.
Types of Machine learning
This article explores and explains the types of machine learning
Top Applications of Artificial Intelligence (AI) in 2023 MEDIUM
In this article, we will discuss about Artificial Intelligence (AI) and also check out the top applications of Artificial Intelligence in 2023 in detail.
Heuristic Search Techniques in Artificial Intelligence EASY
In this blog, we will learn about Heuristic Search Techniques in Artificial Intelligence. We will understand its core concepts, its usage, types, and much more for better understanding.
Subsets Of Artificial Intelligence EASY
This article explores the various subsets of Artificial Intelligence, shedding light on their diversity and applications.
Author Arya27
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Bagging Machine Learning MEDIUM
In this blog, we will learn about Bagging Machine Learning. We will understand its core concepts, its usage, and much more for better understanding.
Hill Climbing Algorithm EASY
In this blog, we will learn about Hill Climbing Algorithm. We will understand its core concepts, its usage, and much more for better understanding.
Advantages and Disadvantages of Artificial Intelligence EASY
This blog talks about the advantages and disadvantages of Artificial Intelligence. Read on to know how AI aims to make computers and machines capable of making decisions and predictions.
Problem Characteristics in AI EASY
In this blog, we will learn about Problem Characteristics in AI. We will understand its core concepts, its usage, examples, and much more for better understanding.
Artificial Intelligence Salary in India
This article discusses different careers in AI, the skills they need, and their expected salaries.
Alpha Beta Pruning in Artificial Intelligence MEDIUM
Alpha beta pruning in Artificial Intelligence is a way of improving the minimax algorithm. It is a famous backtracking algorithm used in decision-making.
State Space Search in Artificial Intelligence MEDIUM
State space search is a strategy used in Artificial Intelligence to find a path to a goal when there are many possibilities to consider.
Hidden Markov Model in Machine Learning EASY
In this blog, we will learn about Hidden Markov Model in Machine Learning. We will understand its core concepts, its usage, types, and much more for better understanding.
First-Order Logic in Artificial Intelligence EASY
In this article, we will discuss First-Order Logic, Syntax and Notations, Quantifiers and Resolution in Artificial Intelligence.
Asymmetric Key Cryptography MEDIUM
In this blog, we will learn about Asymmetric Key Cryptography. We will learn about its characteristics, features, and much more for better understanding.
Predicate Logic In AI MEDIUM
Predicate Logic or First-Order Logic (FOL) is used to represent complex expressions in easier forms using predicates, variables, and quantifiers.
Philosophy of AI
In this blog, we will discuss the philosophy of AI. We will also explore the differences between strong and weak AI.
Expert System in Artificial Intelligence (AI) MEDIUM
In this blog, we will discuss the expert systems developed with the help of artificial intelligence in detail along with their advantages and disadvantages.
Underfitting and Overfitting in ML
The objective of this blog is to understand what is underfitting and overfitting in ML.
Top 20 A.I Artificial Intelligence Project Ideas in 2024 EASY
This article discuss the Top 20 A.I Artificial Intelligence projects in 2024 for beginners, intermediate and advanced.
Production System in AI EASY
A production system in Artificial Intelligence is a type of program that provides artificial intelligence based on a set of rules.
Artificial Intelligence Questions MEDIUM
This article compiles the most asked artificial intelligence interview questions. Dive in and elevate your AI knowledge to ace your AI interviews.
Scope of Artificial Intelligence EASY
The bright future of artificial intelligence has the potential to drive advancements in autonomous vehicles across multiple industries.
Agent in Artificial Intelligence EASY
This blog focuses on discussing the role of an agent in artificial intelligence.
Adversarial Search in Artificial Intelligence MEDIUM
In this article, we'll look at Adversarial Search in Artificial Intelligence, different game scenarios using adversarial search, and its need in artificial intelligence.
Uninformed Search Algorithms in Artificial Intelligence EASY
Uninformed Search Algorithms or Blind Search Algorithms are the search algorithms that are used to find the solutions to the problem which does not have any domain knowledge associated with it.
Forward and Backward Chaining in AI
This blog discusses the concept of forward and backward chaining in AI with their examples in detail.
Non-Linear Planning in AI
The article will discuss non-linear planning in AI, explore its components and heuristics, and discover how it revolutionizes decision-making and flexibility.
12 Most Used Machine Learning Algorithms in Python MEDIUM
Top Machine Learning Algorithms 1. Naive Bayes 2. Decision Tree 3. Random Forest 4. Logistic Regression 5. Linear Regression
Data Science vs. Machine Learning: What's the Difference?
In this article, we will learn the difference between Data Science and Machine Learning.

Statistics & Probability

Statistics and probability are the best tools for solving problems, whether they are real-world problems or optimising machine learning models. Making sense of data and extracting meaningful information from it using statistical techniques, formulas, and variable moderation is an important first step in working on machine learning or deep learning systems.
Introduction to statistics
The objective of this blog is to give an introduction to statistics and its importance in ML.
Descriptive Statistics MEDIUM
This article will discuss descriptive statistics and types with clear information about descriptive statistics.
Scales of Measurement EASY
This article talks about the different scales of measurement
Variance and standard deviation EASY
This article begins with an introduction to variance and standard deviation, how to calculate them, and their implementation in python.
Skewness and Kurtosis
This article will study two statistical concepts,i.e., Skewness and kurtosis, and their applications.
Combinatorics for ML MEDIUM
This blog talks about combinatorics method and its application in Machine learning.

Data Analysis

No Machine Learning model can function without proper analysis, preprocessing, and knowledge of the dataset. Data analysis is one of the most important techniques to perform before performing Machine Learning techniques because it is responsible for the model's better predictions and accuracy.
Data Analysis Introduction
In this blog, we will learn about the importance and applications of Data Analysis, and then we will learn about tools used for Data Analysis with a primary focus on python.
Neighbourhood Aggregation in GraphX MEDIUM
In this article, we will discuss about neighbourhood aggregation in GraphX, collecting neighbours and aggregating messages.
Learning about Tableau Interface
This article discusses the Tableau Interface and its main components for efficiently creating visualisations and data analysis.
Introduction to Tableau EASY
This article covers the concept of tableau, its features, uses, advantages, and disadvantages.
Importing Data to Tableau EASY
This article explains how to import data in tableau and importance of data in tableau.
Making Bullet Chart in Tableau EASY
This article covers a step-by-step tutorial about making a bullet chart in Tableau.
Data Types in Tableau
This article covers all the different types of data types and how can we change the data type of fields in Tableau.
Parameters in Tableau EASY
In this blog, we will discuss the Parameters in Tableau. We will discuss their benefits and learn how to create and use these parameters in Tableau.
Dimensions and Measures in Tableau EASY
This article covers the concept of Dimensions and Measures in Tableau, their examples, respective uses, and the process of converting a Dimension to a Measure.
Data Cleaning with Data Interpreter MEDIUM
The article covers the concepts of data cleaning with Data interpreter, its usage, and its implementation along with some frequently asked questions.
Groups and Sets in Tableau MEDIUM
The article covers the concepts of groups and sets in Tableau, their differences, and implementation, along with some frequently asked questions.
Introduction to Dashboard in Tableau MEDIUM
The article covers the concepts of introduction to Dashboard in Tableau, its features, and its implementation along with some frequently asked questions.
Introduction to Tooltips in Tableau
This article covers the concept of Tooltips in Tableau, its features, implementation of its methods, applications, and some frequently asked questions.
What are Aliases in Tableau? MEDIUM
This article discusses tableau aliases, including their features, construction, data blending capabilities along with some frequently asked questions.
Relationships vs Joins
In this blog, we are going to see the difference between Relationships and Joins and their pros and cons.
Relationships in Tableau
This blog will discuss the new feature added to Tableau called relationships, along with its features and operations.
Making Waterfall Chart in Tableau
In this article we will be studying about making waterfall charts in Tableau, its features, how to create waterfall charts, its uses and step-by-step procedure to making waterfall chart in Tableau.
Author Nitika
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Making a Dual Axis Chart in Tableau
Dual Axis charts in Tableau are powerful visualizations that allow users to combine two different measures or dimensions on separate axes within a single chart.
Sorting Data in Tableau EASY
This article covers the concept of Sorting Data in Tableau, its features, various methods to Sort the data, and Sorting using Parameters.
Introduction to Extract Filter EASY
This article covers a brief Introduction to Extract filters in Tableau. It covers what an extract filter is, its features and its implementation.
Author Shiva
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Implementing Tables in Tableau EASY
This blog discusses the implementation of tables in Tableau along with the process of performing operations on those tables.
Introduction to Context Filter EASY
In this article we are going to learn about Content Filter and their features and implementation in Tableau
Author Nitika
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Introduction to User Filter EASY
In this blog, we will discuss the introduction to user filters. We will discuss their features and learn about implementing these filters in Tableau.
Making Word Cloud in Tableau
This article discusses creating word clouds in Tableau and visualising text data simply and attractively.
Making Line Charts in Tableau
In this blog, we will discuss about making line charts in Tableau, their uses, advantages, disadvantages and how to make line charts in Tableau.
Data analytics in Python EASY
In this article, we'll explore how Python is used in data analytics, diving into numerical data analysis with NumPy and data manipulation with Pandas, accompanied by practical code examples.
What are Bins in Tableau? MEDIUM
In this article, you will learn about bins in Tableau, the uses of bins, creating a bin in Tableau, and editing bins in Tableau.
What is the Level of Detail (LOD) in Tableau? EASY
This article answers the question, What is the Level of Detail (LOD) in Tableau? We will also cover features and limitations of it, many more.
Author Shiva
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Introduction to Storyline in Tableau MEDIUM
In this article, you will get the knowledge of Introduction to Storyline in Tableau, the benefits of the Storyline, creating Storyline in Tableau, and its features.
Funnel Chart in Tableau
In this article, we will discuss about the Funnel Charts in Tableau, followed by their basic concepts, its uses, and its creation.
Introduction to Data Source Filter
In this article, we will discuss Data Source Filter, their features, and their implementation.
Data Blending in Tableau EASY
In this blog, we will learn about data blending in Tableau. We will learn about Tableau and data blending and also discuss one example of data blending.
Building Histograms in Tableau EASY
This article discusses histograms in Tableau, including their features, advantages, use cases, implementation, and some frequently asked questions.
Aggregating Data Using Tableau EASY
This article covers Aggregating Data Using Tableau, how to implement data aggregation, and rules for data aggregation and implementing it.
Author Shiva
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Hierarchies in Tableau
In this blog, we will be learning, how to create Hierarchies in Tableau with drill down and drill up respectively with proper examples.
Difference between Data Analyst and Business Analyst EASY
Business Analysts focus on understanding business processes, whereas data analysts are responsible for collecting.
Author Rashmi
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Discrete Fields vs Continuous Fields in Tableau MEDIUM
In this article, you will learn briefly about discrete and continuous fields, their features, and the comparison between discrete fields and continuous fields in Tableau.
Joins in Tableau
In this blog, we will discuss joins in Tableau, their uses, types and how to create a join in Tableau.
Difference between Join and Blending in Tableau
This article will discuss the difference between them joins and blending in tableau, how to use and when to use those joins and Blends in data with examples.
Author Arya27
0 upvotes
Introduction to Dimension Filter
In this blog, we will discuss the introduction to dimension filter in detail, along with its implementation and features.
Building Maps in Tableau
In this blog, we will discuss the features and application of Building Maps in Tableau and discover its types and customization features.
Making Bar Charts in Tableau
Bar charts are used to compare data across categories, and in this blog, we will discuss the Bar charts in Tableau.
Making Sparkline in Tableau EASY
This article covers the concept of sparkline in Tableau, its advantages and disadvantages, and how to make a sparkline.
What are Filters in Tableau?
This article explains what are filters in Tableau. We will uncover features and uses of filters and various types of filters in Tableau with examples.
Introduction to Measure Filter
In this article, we will discuss about the Measure Filters in tableau followed by their basic concepts and implementations.
What is Exploratory Data Analysis? MEDIUM
We will discuss what EDA in Data Science is, the dataset used, insights from the dataset, handling the missing values, data visualization, and handling the outliers. 
Roles and Responsibilities of Data Scientist
In this article, we will cover Roles and Responsibilities of Data Scientist including all the aspects.
Data Analyst vs. Data Scientist: Key Difference? EASY
This article discusses the Data Analyst vs. Data Scientist which career path is suitable for you based on responsibilities, skills, and salary?

Deep Dive into Machine Learning

Learn about each technique or algorithm used in the Machine Learning domain for building models, solving real-world problems, and delving into one of the most exciting technological domains in the twenty-first century.